NLP Research Intern

Reposted 13 Days Ago
Be an Early Applicant
London, Greater London, England, GBR
In-Office
Internship
Gaming • Software • Metaverse
The Role
Contribute to NLP/ML research projects, develop benchmarks, train large language models, and publish findings at conferences.
Summary Generated by Built In
Business UnitLIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices.

About the Hiring TeamLightspeed Tech Center is a R&D department under Lightspeed Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc.What the Role EntailsLightSpeed Studios is one of the world’s most innovative and successful game developers. With team across China, United States, Singapore, Canada, United Kingdom, France, Japan, South Korea, New Zealand, and United Arab Emirates. We are expanding to more countries.
Founded in 2008, LightSpeed Studios has created over 50 games across multiple platforms and genres for over 4 billion registered users. It is the co-developer of worldwide hits PUBG MOBILE, Apex Legends Mobile, and League of Legends: Wild Rift (Chinese Version).

1. Drive and contribute to cutting-edge research projects in NLP/ML.

2. Develop benchmarks and baselines using publicly available datasets.

3. Train large language models (LLMs) on innovative, practical tasks.

4. Publish research findings at leading NLP/ML/AI conferences and in top journals.

Who We Look For

1. Currently in the PhD degree in NLP, Machine Learning, or a related area, or recently submitted the thesis; available at least three days per week (with the supervisor and university approval). Candidates who have completed a Master's degree and have received a PhD offer in a relevant field will also be considered.

2. At least one publication in a top-tier NLP/ML conference or journal (e.g., ACL, NAACL, EMNLP, EACL, NeurIPS, ICLR, ICML).

3. Hands-on experience with Python and deep learning libraries, especially PyTorch, Hugging Face, and Transformers.

4. Experience in one or more of the following areas: supervised fine-tuning of LLMs, LLM self-learning, LLM efficiency, LLM-based AI agents, or LLM applications in gaming, reasoning, or mathematical tasks.

Equal Employment Opportunity at Tencent

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

Skills Required

  • Currently pursuing a PhD in NLP, Machine Learning, or a related area
  • At least one publication in a top-tier NLP/ML conference or journal
  • Hands-on experience with Python and deep learning libraries
  • Experience with supervised fine-tuning of LLMs or LLM applications

Tencent Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tencent and has not been reviewed or approved by Tencent.

  • Healthcare Strength Healthcare coverage is positioned as a standout, with strong PPO options and relatively low prescription costs highlighted for U.S. plans. This suggests the medical offering can be a meaningful component of the overall rewards package for U.S.-based employees.
  • Retirement Support Retirement support is framed as competitive in the U.S., with employer match details called out as an item to confirm in writing. This indicates retirement benefits can be a notable strength where applicable.
  • Strong & Reliable Incentives Performance-linked incentives and share-based awards are repeatedly included as part of the compensation model, alongside potential RSU and sign-on eligibility in certain roles. This points to total rewards often extending beyond base pay through variable and equity components.

Tencent Insights

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The Company
HQ: Palo Alto, CA
107,879 Employees
Year Founded: 1998

What We Do

Tencent uses technology to enrich the lives of Internet users. Our communications and social platforms Weixin and QQ connect users with each other, with digital content and daily life services in just a few clicks. Our high performance advertising platform helps brands and marketers reach out to hundreds of millions of consumers in China. Our financial technology and business services support our partners' business growth and assist their digital upgrade. We invest heavily in talent and technological innovation, actively participating in the development of the Internet industry. Tencent was founded in Shenzhen, China, in 1998, and listed on the Main Board of the Stock Exchange of Hong Kong since June 2004.

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